SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2326–2350 of 4891 papers

TitleStatusHype
Advancing Machine Learning in Industry 4.0: Benchmark Framework for Rare-event Prediction in Chemical Processes—0
Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraintCode0
OpenRANet: Neuralized Spectrum Access by Joint Subcarrier and Power Allocation with Optimization-based Deep LearningCode0
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion ModelsCode0
A Scalable k-Medoids Clustering via Whale Optimization Algorithm—0
C-RADAR: A Centralized Deep Learning System for Intrusion Detection in Software Defined Networks—0
Tiny-Toxic-Detector: A compact transformer-based model for toxic content detection—0
Modelling Behaviour of Sensors using a Novel β-divergence based Adaptive Filter—0
A Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy—0
American option pricing using generalised stochastic hybrid systems—0
The Role of Fibration Symmetries in Geometric Deep Learning—0
A Simple Baseline with Single-encoder for Referring Image Segmentation—0
Learning-Based Adaptive Dynamic Routing with Stability Guarantee for a Single-Origin-Single-Destination Network—0
Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language ModelsCode0
Research Advances and New Paradigms for Biology-inspired Spiking Neural Networks—0
FreqINR: Frequency Consistency for Implicit Neural Representation with Adaptive DCT Frequency Loss—0
LowCLIP: Adapting the CLIP Model Architecture for Low-Resource Languages in Multimodal Image Retrieval TaskCode0
Batch-FPM: Random batch-update multi-parameter physical Fourier ptychography neural network—0
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training—0
Quantum-Powered Personalized Learning—0
Prompt-Matcher: Leveraging Large Models to Reduce Uncertainty in Schema Matching Results—0
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities—0
Interpretable breast cancer classification using CNNs on mammographic imagesCode0
Mastering the Digital Art of War: Developing Intelligent Combat Simulation Agents for Wargaming Using Hierarchical Reinforcement Learning—0
Extrinsic Fluctuations in the p53 Cycle—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified